One of the most important aspects of deep learning is the quality and quantity of the data used in the learning process. Moses Guttmann explores the problem and offers approaches to solve it.
Moses Guttmann is CTO and founder of Seematics, a company building a holistic deep learning platform. A 15-year computer vision and deep learning specialist, Moses is a seasoned business and product leader with a two-decade track record in leading and driving execution of large-scale, complex products in a multitude of disciplines. Previously, he founded an innovative semiautomatic 3D conversion company and built face recognition technologies and wavelet-based compression on embedded systems for various companies. He holds an MSc in computer science (cum laude) from Tel Aviv University.
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